
Neaj Morshad
Future-Proof Your Data Strategy - Why Kubernetes is the Engine Behind Stateful Workloads & Modern AI
Why do Enterprises Choose Kubernetes for Stateful Apps? In today’s rapidly evolving tech landscape, managing stateful applications—databases, caches, queues—at scale, efficiently is a top priority for enterprises. At Google Cloud Next 25, titled “Data on Kubernetes: Run stateful apps and AI workloads on GKE”, highlighted the growing adoption of Kubernetes for databases, AI, and machine learning (ML) workloads, showcasing its cost-efficiency, scalability, and performance benefits. Drawing from insights shared in that session, this blog explores why Kubernetes—paired with solutions like KubeDB from AppsCode—is the ideal platform for running stateful applications and future-proofing AI workloads.
ai
appscode
cloud-native
databases
dbaas
gcp
gke
kubedb
kubernetes